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浙江省水利网络安全态势感知监管平台设计与实现

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针对浙江省水利网络安全威胁信息感知能力弱、系统风险发现滞后、自动报警和处置响应速度慢等问题,依托数据采集、融合、关联分析、态势预测等态势感知技术,结合机器学习、人工智能、NLP分析及SOAR技术能力,设计一种适应浙江省水利网络安全态势感知的监管平台.监管平台架构设计为安全态势提取层、态势分析层、态势预测层、管理及反馈调节层4个层次,实现实时监控、预警与威胁处置、告警管理、安全态势指数展示、自动应急响应等功能.依托网络安全态势感知平台,可从全局角度发现、识别、分析、预测和处置网络安全威胁,提高自动报警和处置反应速度,增强安全监测和主动防御能力.
Design and implementation of Zhejiang water conservancy network security situation perception and supervision platform
In response to the weak information perception capability,delayed detection of system risks,and slow automatic alarm and disposals in the Zhejiang water conservancy network security,a supervision platform tailored to the network security situation perception of the Zhejiang water conservancy is designed.Leveraging perception technologies such as data collection,fusion,correlation analysis,situation prediction and other perception technologies,combined with machine learning,artificial intelligence,NLP analysis and SOAR technical capabilities,the platform architecture consists of four layers:security situation extraction,situation analysis,situation prediction,management and feedback adjustment.This platform enables real-time monitoring,early warning and threat disposal,alarm management,display of security situation indices,and automatic emergency response.With the network security situation perception platform,it is possible to discover,identify,analyze,predict and address network security threats comprehensively,which improves the automatic alarm and disposal reaction speed,and enhance the security monitoring and proactive defense capabilities.

network securitysituation perceptionsupervision platformSOAR technologyproactive defense

景秀眉、骆小龙、魏杰、杨军伟

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浙江同济科技职业学院,浙江杭州 311231

浙江省水利信息宣传中心,浙江杭州 311500

网络安全 态势感知 监管平台 SOAR技术 主动防御

浙江省水利厅科技项目

RC2238

2024

水利信息化
水利部南京水利水文自动化研究所

水利信息化

影响因子:0.571
ISSN:1674-9405
年,卷(期):2024.(2)
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